{"id":"https://openalex.org/W2990598745","doi":"https://doi.org/10.1109/smc.2019.8914177","title":"A Euclidean metric based voice feature extraction method using IDCT cepstrum coefficient","display_name":"A Euclidean metric based voice feature extraction method using IDCT cepstrum coefficient","publication_year":2019,"publication_date":"2019-10-01","ids":{"openalex":"https://openalex.org/W2990598745","doi":"https://doi.org/10.1109/smc.2019.8914177","mag":"2990598745"},"language":"en","primary_location":{"id":"doi:10.1109/smc.2019.8914177","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc.2019.8914177","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Systems, Man and Cybernetics (SMC)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102009004","display_name":"He Ma","orcid":"https://orcid.org/0000-0003-2438-2552"},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"He Ma","raw_affiliation_strings":["school of Navigation, Dalian Maritime University, Dalian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"school of Navigation, Dalian Maritime University, Dalian, China","institution_ids":["https://openalex.org/I43313876"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045450717","display_name":"Yi Zuo","orcid":"https://orcid.org/0000-0002-4580-6855"},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Zuo","raw_affiliation_strings":["Navigation College, Collaborative Innovation Center for Transport Studies, Dalian Maritime University, Dalian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Navigation College, Collaborative Innovation Center for Transport Studies, Dalian Maritime University, Dalian, China","institution_ids":["https://openalex.org/I43313876"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025349097","display_name":"Tieshan Li","orcid":"https://orcid.org/0000-0003-0474-953X"},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tieshan Li","raw_affiliation_strings":["school of Navigation, Dalian Maritime University, Dalian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"school of Navigation, Dalian Maritime University, Dalian, China","institution_ids":["https://openalex.org/I43313876"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100643265","display_name":"C. L. Philip Chen","orcid":"https://orcid.org/0000-0001-5451-7230"},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"C. L. Philip Chen","raw_affiliation_strings":["Navigation College, Dalian Maritime University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Navigation College, Dalian Maritime University","institution_ids":["https://openalex.org/I43313876"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101958190","display_name":"Junxia Liu","orcid":"https://orcid.org/0000-0001-8290-3761"},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junxia Liu","raw_affiliation_strings":["school of Navigation, Dalian Maritime University, Dalian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"school of Navigation, Dalian Maritime University, Dalian, China","institution_ids":["https://openalex.org/I43313876"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I43313876"],"apc_list":null,"apc_paid":null,"fwci":0.1093,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.42974614,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"64","issue":null,"first_page":"187","last_page":"192"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9950000047683716,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.9934999942779541,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/mel-frequency-cepstrum","display_name":"Mel-frequency cepstrum","score":0.8588777780532837},{"id":"https://openalex.org/keywords/cepstrum","display_name":"Cepstrum","score":0.7961848974227905},{"id":"https://openalex.org/keywords/discrete-cosine-transform","display_name":"Discrete cosine transform","score":0.6591427326202393},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6412020921707153},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6318749785423279},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6311212778091431},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.6098566055297852},{"id":"https://openalex.org/keywords/euclidean-distance","display_name":"Euclidean distance","score":0.6041879653930664},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5735946893692017},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5191665887832642},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.4845811128616333},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.48291823267936707},{"id":"https://openalex.org/keywords/speaker-recognition","display_name":"Speaker recognition","score":0.4358234405517578},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.0876350998878479}],"concepts":[{"id":"https://openalex.org/C151989614","wikidata":"https://www.wikidata.org/wiki/Q440370","display_name":"Mel-frequency cepstrum","level":3,"score":0.8588777780532837},{"id":"https://openalex.org/C88485024","wikidata":"https://www.wikidata.org/wiki/Q1054571","display_name":"Cepstrum","level":2,"score":0.7961848974227905},{"id":"https://openalex.org/C2221639","wikidata":"https://www.wikidata.org/wiki/Q2877","display_name":"Discrete cosine transform","level":3,"score":0.6591427326202393},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6412020921707153},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6318749785423279},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6311212778091431},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.6098566055297852},{"id":"https://openalex.org/C120174047","wikidata":"https://www.wikidata.org/wiki/Q847073","display_name":"Euclidean distance","level":2,"score":0.6041879653930664},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5735946893692017},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5191665887832642},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.4845811128616333},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.48291823267936707},{"id":"https://openalex.org/C133892786","wikidata":"https://www.wikidata.org/wiki/Q1145189","display_name":"Speaker recognition","level":2,"score":0.4358234405517578},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0876350998878479},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/smc.2019.8914177","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc.2019.8914177","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Systems, Man and Cybernetics (SMC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W78574012","https://openalex.org/W1492702691","https://openalex.org/W1538323930","https://openalex.org/W1559173710","https://openalex.org/W1560013842","https://openalex.org/W1971784203","https://openalex.org/W1980148047","https://openalex.org/W1992419399","https://openalex.org/W1998871699","https://openalex.org/W2002311796","https://openalex.org/W2040266692","https://openalex.org/W2050693797","https://openalex.org/W2062003163","https://openalex.org/W2062826588","https://openalex.org/W2073296933","https://openalex.org/W2078169166","https://openalex.org/W2089683113","https://openalex.org/W2090861223","https://openalex.org/W2112180173","https://openalex.org/W2126072958","https://openalex.org/W2129244720","https://openalex.org/W2142334564","https://openalex.org/W2155798363","https://openalex.org/W2166661046","https://openalex.org/W2465080433","https://openalex.org/W4252521233","https://openalex.org/W4256587107","https://openalex.org/W6827477019"],"related_works":["https://openalex.org/W3047893435","https://openalex.org/W3034643456","https://openalex.org/W191004317","https://openalex.org/W2225154282","https://openalex.org/W2375740050","https://openalex.org/W1492702691","https://openalex.org/W1559551917","https://openalex.org/W1534948491","https://openalex.org/W2160890201","https://openalex.org/W1992095472","https://openalex.org/W2166599105","https://openalex.org/W2079642794","https://openalex.org/W2061163896","https://openalex.org/W2548564146","https://openalex.org/W2131190972","https://openalex.org/W2373849243","https://openalex.org/W2165591343","https://openalex.org/W2137581990","https://openalex.org/W2050851672","https://openalex.org/W2186461658"],"abstract_inverted_index":{"In":[0,80],"this":[1],"paper,":[2],"we":[3,41,84],"propose":[4],"a":[5,14],"new":[6],"method":[7],"for":[8],"voice":[9,45,52,92,124,134],"feature":[10,35,46,135],"extraction":[11],"by":[12],"using":[13],"hierarchical":[15],"clustering":[16],"approach":[17],"of":[18,62,77,93,109,113],"inverse":[19],"discrete":[20],"cosine":[21],"transform":[22],"(IDCT)":[23],"cepstrum":[24,29,57,64],"coefficient.":[25],"Since":[26],"the":[27,34,43,67,71,78,81,86,91,106],"IDCT":[28],"coefficient":[30,58],"is":[31],"transformed":[32],"into":[33],"vector":[36],"based":[37,89],"on":[38,90,126,133],"Euclidean":[39],"metric,":[40],"call":[42],"proposed":[44],"as":[47],"\u201cE-vector\u201d.":[48],"Comparing":[49],"with":[50,111],"other":[51,123],"features,":[53],"e.g.":[54],"Mel":[55],"frequency":[56],"(MFCC)":[59],"and":[60,74,99,115,129],"histogram":[61],"DCT":[63],"coefficients":[65],"(HDCC),":[66],"E-vector":[68,110,121],"can":[69],"represent":[70],"dynamic":[72],"characteristics":[73],"interactional":[75],"relationships":[76],"voice.":[79],"numerical":[82],"experiments,":[83],"use":[85],"speech":[87],"files":[88],"630":[94],"people":[95],"in":[96],"TIMIT":[97],"corpus,":[98],"employ":[100],"Gaussian":[101],"mixture":[102],"model":[103],"to":[104],"compare":[105],"recognition":[107],"accuracy":[108],"that":[112,120],"MFCC":[114],"HDCC.":[116],"The":[117],"results":[118],"show":[119],"outperformed":[122],"features":[125],"personal":[127],"identification,":[128],"presented":[130],"higher":[131],"extensiveness":[132],"extraction.":[136]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
